University proceedings. Volga region. Technical sciences

Background. The following tasks are set in the work: analysis of the possibility of using emotional agents in SOS models of two groups; development of proposals for the use of emotional agents. The first group of models are deterministic and stochastic models (complete formalization of processes), t...

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Main Authors: M.Yu. Babich, V.E. Kuznetsov, M.A. Chigirev, A.M. Babich
Format: Article
Language:English
Published: Penza State University Publishing House 2025-05-01
Series:Известия высших учебных заведений. Поволжский регион:Технические науки
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author M.Yu. Babich
V.E. Kuznetsov
M.A. Chigirev
A.M. Babich
author_facet M.Yu. Babich
V.E. Kuznetsov
M.A. Chigirev
A.M. Babich
author_sort M.Yu. Babich
collection DOAJ
description Background. The following tasks are set in the work: analysis of the possibility of using emotional agents in SOS models of two groups; development of proposals for the use of emotional agents. The first group of models are deterministic and stochastic models (complete formalization of processes), the second are models with less formalization (Foresight method, situational analysis, etc.). Simulation of emotional states is relevant for systems with incomplete and inaccurate information, when the chosen decisions are often the result of emotions and can be irrational. Materials and methods. Methods that fully formalize emotional processes using modern mathematical apparatus and the possibility of simulating emotions with only partial formalization are considered. Results. It is proposed to use the imitation of the emergence of human emotional states by including certain types of agents in the model. Conclusions. The proposed use of agent types allows us to take into account emotions resulting from events that occurred long before the considered modeling interval in systems located outside the contour of the modeled system
format Article
id doaj-art-ebd76af32dc449b2a43750585d48dcf6
institution OA Journals
issn 2072-3059
language English
publishDate 2025-05-01
publisher Penza State University Publishing House
record_format Article
series Известия высших учебных заведений. Поволжский регион:Технические науки
spelling doaj-art-ebd76af32dc449b2a43750585d48dcf62025-08-20T02:15:33ZengPenza State University Publishing HouseИзвестия высших учебных заведений. Поволжский регион:Технические науки2072-30592025-05-01151510.21685/2072-3059-2025-1-1University proceedings. Volga region. Technical sciencesM.Yu. Babich0V.E. Kuznetsov1M.A. Chigirev2A.M. Babich3Research and Production Enterprise “Rubin”, PenzaResearch and Production Enterprise “Rubin”, PenzaResearch and Production Enterprise “Rubin”, PenzaResearch and Production Enterprise “Rubin”, PenzaBackground. The following tasks are set in the work: analysis of the possibility of using emotional agents in SOS models of two groups; development of proposals for the use of emotional agents. The first group of models are deterministic and stochastic models (complete formalization of processes), the second are models with less formalization (Foresight method, situational analysis, etc.). Simulation of emotional states is relevant for systems with incomplete and inaccurate information, when the chosen decisions are often the result of emotions and can be irrational. Materials and methods. Methods that fully formalize emotional processes using modern mathematical apparatus and the possibility of simulating emotions with only partial formalization are considered. Results. It is proposed to use the imitation of the emergence of human emotional states by including certain types of agents in the model. Conclusions. The proposed use of agent types allows us to take into account emotions resulting from events that occurred long before the considered modeling interval in systems located outside the contour of the modeled systemcomplex organizational and technical systemmulti-agent modelingemotional stategame methods
spellingShingle M.Yu. Babich
V.E. Kuznetsov
M.A. Chigirev
A.M. Babich
University proceedings. Volga region. Technical sciences
Известия высших учебных заведений. Поволжский регион:Технические науки
complex organizational and technical system
multi-agent modeling
emotional state
game methods
title University proceedings. Volga region. Technical sciences
title_full University proceedings. Volga region. Technical sciences
title_fullStr University proceedings. Volga region. Technical sciences
title_full_unstemmed University proceedings. Volga region. Technical sciences
title_short University proceedings. Volga region. Technical sciences
title_sort university proceedings volga region technical sciences
topic complex organizational and technical system
multi-agent modeling
emotional state
game methods
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